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Abstract
HCI technology improves human-computer interaction. Such communication can be carried out with the use of emotions that are visible on the human face since birth. In this paper the Emotion system for detecting and recognizing facial expressions, developed in the MSc work, is presented. The system recognizes emotion from webcam video in real time. It is based on color segmentation and morphological operations. The system uses a cascade of boosted classifiers based on Haar-like features, to locate the face and to reduce the searched area for characteristic points. For identification purposes, the Emotion system uses an expanded action unit EAU, based on a facial action coding system FACS.
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- Publication version
- Accepted or Published Version
- License
- Copyright (2018 Springer International Publishing AG)
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- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Title of issue:
- Advanced Solutions in Diagnostics and Fault Tolerant Control strony 291 - 303
- ISSN:
- 2194-5357
- Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Kowalczuk Z., Chudziak P.: Identification of Emotions Based on Human Facial Expressions Using a Color-Space Approach// Advanced Solutions in Diagnostics and Fault Tolerant Control/ Cham (Switzerland): , 2018, s.291-303
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-64474-5_24
- Verified by:
- Gdańsk University of Technology
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